Contextual Commerce Strategist

About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. Location- Noida / Bangalore / Mumbai Role Overview: Campaign Operations Specialist will be responsible for the end-to-end execution, monitoring, and optimization of digital advertising campaigns across programmatic platforms, with a strong focus on Google Display & Video 360 (DV360), OTT/CTV, Display, and Video advertising. This role sits at the intersection of ad operations, campaign performance, and client delivery, ensuring campaigns launch accurately, deliver efficiently, meet KPIs, and drive measurable business outcomes. Key Responsibilities: Campaign Setup & Execution ● Set up and launch advertiser campaigns on DV360 and programmatic platforms, including Display, Video, YouTube, and OTT/CTV inventory. ● Configure insertion orders, line items, targeting, budgets, bidding, creatives, frequency caps, and flighting based on client briefs and media plans. ● Manage audience, contextual, geo, device, inventory, and OTT/CTV audience targeting. ● Execute campaigns across OTT/video inventory and connected TV environments, ensuring appropriate targeting, creative formats, and delivery. ● Ensure accurate campaign tagging, tracking, Floodlight/conversion tracking, and attribution setup. ● Perform detailed pre-launch QA to ensure error-free campaign execution. Campaign Monitoring & Optimization ● Monitor live campaigns for delivery, pacing, CTR, CPM, CPC, CVR, CPA, viewability, reach, frequency, and video completion rates. ● Perform ongoing optimizations across bids, targeting, budgets, creatives, inventory, and frequency to improve campaign performance. ● Monitor OTT/video campaigns for completion rate, VTR, viewabili

About Paytm Paytm is India's leading mobile payments and financial services distribution company. A pioneer in the mobile QR payments revolution, Paytm builds innovative technology solutions that empower merchants and consumers alike. Our mission is to bring half a billion Indians into the mainstream economy through payments, commerce, banking, investments, and financial services. About the Role We are looking for an experienced Growth professional (DGM/GM) to own customer acquisition, activation and usage for our Lending EMI business. The incumbent will drive the strategy and execution behind how customers discover, check their eligibility for, and activate Paytm EMI — spanning proactive outreach to pre-scored segments, always-on in-app/in-store eligibility checks, and in-the-moment discovery at the point of purchase. The role requires close partnership with Business Product, App Product, Risk, Risk Analytics, Brand Alliance, and Marketing teams to convert Paytm's existing user base — including Postpaid and other lending cohorts, and customers who already use Paytm's free credit report — into active, repeat EMI users, while keeping growth targets aligned with underwriting and portfolio quality constraints. About the Team The Growth team for Lending EMI owns the full top-of-funnel, activation charter and usage matrices: sizing and prioritizing the addressable base, running outbound and in-product campaigns, and measuring and improving conversion across every discovery channel — proactive whitelist outreach, standalone self- check, contextual at-purchase discovery, and merchant-assisted discovery. Key Responsibilities ● Own the GTM strategy and sequencing across customer segments (existing loan products/lending cohorts, the CIR base, internal usage patterns, new-to-credit customers) and merchant/category segments. ● Drive the proactive outreach ("Signup") program end to end: whitelist targeting, campaign design across push/SMS/email/in-app, frequency and consent m

The pay range is $132,000.00 - $238,000.00 Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits . JOIN TARGET AS A LEAD DATA SCIENTIST – RECOMMENDATIONS (RecSys) About Us: Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here <span style="color:#00

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Lifecycle Growth Marketing team engages with millions of Lyft riders and drivers to drive preference and usage of Lyft. The team runs hundreds of acquisition, engagement, retention and resurrection experiments every year across email, push notifications, SMS and in-app messaging surfaces. We are data-driven in everything we do. We test and measure all of our communications and tailor experiences to be personalized and contextual by audience segment. In this role, you will work closely with Product, Engineering, Analytics, Data Science, and Marketing Operations to design, test and optimize incentive and non-incentive messages and experiences. Responsibilities: Own the lifecycle marketing strategy for your audience — define the channel mix, set the prioritization framework, and ensure every communication delivers clear value to the target user Build and manage an experimentation program that drives measurable impact — from ideation through results, with a clear point of view on what to test Partner with Engineering, Product, and Data Science to unlock new platform capabilities, influence roadmaps, and push beyond out-of-the-box tooling Own performance reporting — define metrics, experimentation setup, and share results and next steps with stakeholders and leadership Drive creative strategy — brief, review, and iterate on assets across email, push, SMS and in-app with a strong feedback loop with designers and copywriters Apply behavioral science frameworks to inform message sequencing, timing, and incentive design Experience: 6+ years in growth marketing. You've owned a full lifecycle marketing program from the ground up — not just executing campaigns, but building strategy from high-level goals and managing a prioritized roadmap Strong SQL skills required — you’re comfortabl

We’re hiring a Senior Technical Product Marketing Manager to lead positioning, messaging, and product adoption across our AI and agentic context solutions. This is a high-impact role for a technical marketer who thinks and acts like a builder. Most AI systems don't fail because the model is bad—they fail because they lack a crucial, contextual foundation. MongoDB owns a piece of nearly every step in that chain. This role requires deep technical expertise across the context stack—including VoyageAI embedding and reranking models, MCP Server, and the coding agent ecosystem (Claude Code, Cursor, GitHub Copilot, Gemini CLI, Codex, etc.)—combined with product marketing instincts to deeply understand the market and translate technical depth into crisp, differentiated messaging for distinct user and buyer personas. The ideal candidate has experience building and shipping AI-enabled products and using developer tools in their day-to-day workflows. Individuals with prior experience in technical sales, developer relations, or software development are encouraged to apply. The ideal candidate is a voracious consumer of AI research and pays close attention to shifting patterns in how software and AI applications are built and consumed. This individual is confident in communicating with technical practitioners and non-technical decision makers in one-to-few and one-to-many engagements for internal and external audiences. You will leverage your technical depth to craft clear, compelling, and highly differentiated messaging by working backward from customer requirements. We are looking to speak to candidates who are based in Dublin for our hybrid working model. What You’ll Do Drive Strategy & Execution: Act as the strategic owner for MongoDB’s context engineering portfolio—MCP Server, Agent Skills, VoyageAI, and more— aligning roadmap and go-to-market with MongoDB’s long-term business goals, in collaboration with Product Management, Engineering, Developer Relations, Partn

ABOUT THE TEAM The AI Foundations Team at Mural is pioneering how generative AI transforms visual collaboration and decision-making. We’re a remote-first group of engineers, designers, and product thinkers focused on helping teams work together more effectively. Our goal isn’t to replace human creativity. It’s to amplify it, building AI that enhances how people align, communicate, and make decisions visually. YOUR MISSION You will design and build the core AI systems and platforms that enable Mural’s next wave of agentic, AI-driven collaboration experiences. Rather than building isolated AI features, you’ll work on the core backend systems that power Mural’s agent platform, including agent orchestration, durable execution, contextual memory, tool integration, observability, and evaluation. Your work will enable intelligent agents to reason over product context, act on behalf of users, and operate reliably and safely at scale. Our stack at Mural includes Azure OpenAI, React, Node, MongoDB. WHAT YOU'LL DO Build the core backend systems that power Mural’s agent platform, including orchestration, durable execution, tool execution, memory, observability, and evaluation infrastructure Design scalable services and APIs that allow AI agents to retrieve context, coordinate multi-step workflows, interact with Mural data, and act reliably on behalf of users Develop the agent memory layer, including systems for conversation context, product context, retrieval, summarization, compaction, and long-term context management Create infrastructure to monitor, debug, and improve agent behavior through traces, metrics, feedback loops, and offline evaluation Translate complex, open-ended product needs into clear backend architectures, service boundaries, data models, and implementation plans that align technical capabilities with user value Help define the technical direction for agentic AI at Mural, contributing to long-term architecture and strategy Champion engineering excellence, men